Data modeling is still an important process—perhaps more important than ever before. But data modeling purpose and processes must change to keep pace with the rapidly evolving world of data. This course examines the principles, practices, and techniq[...]

This accelerated class will go beyond the fundamental questions and tackle some of the most commonly asked questions and addresses the most common mistakes that people make. This course is based on real world experience in dealing with large data vol[...]

Students learn the complete set of best practices—from multiple fact table designs, to bridge tables, to advanced slow change processing. Students learn to match these techniques to real-world business complexity, and explore their impacts on BI and [...]

Business intelligence and data warehousing systems challenge the proven data modeling techniques of the past. From requirements to implementation, new roles, uses, and kinds of data demand updated modeling skills. The data modeler’s toolbox must addr[...]

The course begins with a comparison of relational and dimensional data organization and provides an example of business questions not readily answered using more traditional data structures of relational modeling. It then illustrates the steps to des[...]

This course is designed to teach attendees the fundamentals of business dimensional modeling. The basic principles are shared using real-world scenarios. This course is not intended to provide the complete skills necessary to develop dimensional mode[...]

Whether you are a business data modeler who represents data requirements as entities and relationships, or a physical data modeler more concerned with tables, columns, and indexes, you know that the hard stuff lies beneath the surface. Every data des[...]